From 9316263c950c35b8fb1e1b238eda0c1a0b4bfebe Mon Sep 17 00:00:00 2001 From: Lukas Burgholzer Date: Wed, 11 Dec 2024 14:54:08 +0100 Subject: [PATCH] =?UTF-8?q?=F0=9F=9A=A8=20update=20pre-commit,=20lockfile,?= =?UTF-8?q?=20and=20workflows=20(#106)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## Description This PR combines a couple of updates for the project configuration that are long overdue. This should resolve almost all outstanding pull requests. ## Checklist: - [x] The pull request only contains commits that are related to it. - [x] I have added appropriate tests and documentation. - [x] I have made sure that all CI jobs on GitHub pass. - [x] The pull request introduces no new warnings and follows the project's style guidelines. --------- Signed-off-by: burgholzer --- .github/workflows/cd.yml | 4 +- .github/workflows/ci.yml | 12 +- .github/workflows/update-mqt-core.yml | 2 +- .pre-commit-config.yaml | 12 +- noxfile.py | 6 +- pyproject.toml | 7 +- src/mqt/qudits/compiler/dit_compiler.py | 4 +- .../local_operation_swap/swap_routine.py | 12 +- .../propagate_virtrz.py | 6 +- .../phy_local_adaptive_decomp.py | 14 +- .../phy_local_qr_decomp.py | 14 +- .../log_local_adaptive_decomp.py | 8 +- .../log_local_qr_decomp.py | 14 +- .../state_compilation/state_preparation.py | 2 +- .../entanglement_qr/phy_ent_qr_cex_decomp.py | 4 +- .../opt/distance_measures.py | 6 +- .../sparsifier.py | 8 +- src/mqt/qudits/core/lanes.py | 8 +- src/mqt/qudits/core/level_graph.py | 8 +- src/mqt/qudits/core/micro_dd.py | 2 +- src/mqt/qudits/quantum_circuit/circuit.py | 6 +- .../components/classic_register.py | 2 +- .../components/extensions/matrix_factory.py | 4 +- .../components/quantum_register.py | 8 +- src/mqt/qudits/quantum_circuit/gates/csum.py | 2 +- .../quantum_circuit/gates/custom_multi.py | 5 +- .../quantum_circuit/gates/custom_one.py | 5 +- .../quantum_circuit/gates/custom_two.py | 5 +- src/mqt/qudits/quantum_circuit/gates/cx.py | 20 +- .../qudits/quantum_circuit/gates/gellmann.py | 8 +- src/mqt/qudits/quantum_circuit/gates/ls.py | 4 +- src/mqt/qudits/quantum_circuit/gates/ms.py | 6 +- src/mqt/qudits/quantum_circuit/gates/perm.py | 4 +- src/mqt/qudits/quantum_circuit/gates/r.py | 10 +- src/mqt/qudits/quantum_circuit/gates/randu.py | 2 +- src/mqt/qudits/quantum_circuit/gates/rh.py | 2 +- src/mqt/qudits/quantum_circuit/gates/rz.py | 8 +- .../qudits/quantum_circuit/gates/virt_rz.py | 4 +- src/mqt/qudits/quantum_circuit/qasm.py | 2 +- .../qudits/simulation/backends/backendv2.py | 2 +- .../noise_tools/noisy_circuit_factory.py | 4 +- .../onedit/test_phy_local_adaptive_decomp.py | 8 +- uv.lock | 655 +++++++++--------- 43 files changed, 476 insertions(+), 453 deletions(-) diff --git a/.github/workflows/cd.yml b/.github/workflows/cd.yml index 04f265c..2a5de92 100644 --- a/.github/workflows/cd.yml +++ b/.github/workflows/cd.yml @@ -17,7 +17,7 @@ jobs: # whether the workflow is triggered from a PR, a push to main, or a release, respectively. python-packaging: name: 🐍 Packaging - uses: cda-tum/mqt-workflows/.github/workflows/reusable-python-packaging.yml@v1.4 + uses: cda-tum/mqt-workflows/.github/workflows/reusable-python-packaging.yml@v1.5 with: # Do not include local version information on pushes to main to facilitate TestPyPI uploads. no-local-version: ${{ github.ref == 'refs/heads/main' && github.event_name == 'push' }} @@ -60,7 +60,7 @@ jobs: path: dist merge-multiple: true - name: Generate artifact attestation for sdist and wheel(s) - uses: actions/attest-build-provenance@v1.4.4 + uses: actions/attest-build-provenance@v2 with: subject-path: "dist/*" - uses: pypa/gh-action-pypi-publish@release/v1 diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 69378d6..94e304d 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -14,13 +14,13 @@ concurrency: jobs: change-detection: name: 🔍 Change - uses: cda-tum/mqt-workflows/.github/workflows/reusable-change-detection.yml@v1.4 + uses: cda-tum/mqt-workflows/.github/workflows/reusable-change-detection.yml@v1.5 cpp-tests: name: 🇨‌ Test needs: change-detection if: fromJSON(needs.change-detection.outputs.run-cpp-tests) - uses: cda-tum/mqt-workflows/.github/workflows/reusable-cpp-ci.yml@v1.4 + uses: cda-tum/mqt-workflows/.github/workflows/reusable-cpp-ci.yml@v1.5 with: cmake-args: "" cmake-args-ubuntu: -G Ninja @@ -31,25 +31,25 @@ jobs: name: 🇨‌ Lint needs: change-detection if: fromJSON(needs.change-detection.outputs.run-cpp-linter) - uses: cda-tum/mqt-workflows/.github/workflows/reusable-cpp-linter.yml@v1.4 + uses: cda-tum/mqt-workflows/.github/workflows/reusable-cpp-linter.yml@v1.5 python-tests: name: 🐍 Test needs: change-detection if: fromJSON(needs.change-detection.outputs.run-python-tests) - uses: cda-tum/mqt-workflows/.github/workflows/reusable-python-ci.yml@v1.4 + uses: cda-tum/mqt-workflows/.github/workflows/reusable-python-ci.yml@v1.5 code-ql: name: 📝 CodeQL needs: change-detection if: fromJSON(needs.change-detection.outputs.run-code-ql) - uses: cda-tum/mqt-workflows/.github/workflows/reusable-code-ql.yml@v1.4 + uses: cda-tum/mqt-workflows/.github/workflows/reusable-code-ql.yml@v1.5 cd: name: 🚀 CD needs: change-detection if: fromJSON(needs.change-detection.outputs.run-cd) - uses: cda-tum/mqt-workflows/.github/workflows/reusable-python-packaging.yml@v1.4 + uses: cda-tum/mqt-workflows/.github/workflows/reusable-python-packaging.yml@v1.5 required-checks-pass: # This job does nothing and is only used for branch protection name: 🚦 Check diff --git a/.github/workflows/update-mqt-core.yml b/.github/workflows/update-mqt-core.yml index 28ad548..2ca8dbe 100644 --- a/.github/workflows/update-mqt-core.yml +++ b/.github/workflows/update-mqt-core.yml @@ -21,6 +21,6 @@ concurrency: jobs: update-mqt-core: name: ⬆️ Update MQT Core - uses: cda-tum/mqt-workflows/.github/workflows/reusable-mqt-core-update.yml@v1.4 + uses: cda-tum/mqt-workflows/.github/workflows/reusable-mqt-core-update.yml@v1.5 with: update-to-head: ${{ github.event.inputs.update-to-head == 'true' }} diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index c82634b..deef255 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -59,7 +59,7 @@ repos: # Python linting using ruff - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.7.4 + rev: v0.8.2 hooks: - id: ruff args: ["--fix", "--show-fixes"] @@ -85,7 +85,7 @@ repos: # Clang-format the C++ part of the code base automatically - repo: https://github.com/pre-commit/mirrors-clang-format - rev: v19.1.4 + rev: v19.1.5 hooks: - id: clang-format types_or: [c++, c, cuda] @@ -101,14 +101,14 @@ repos: # Format configuration files with prettier - repo: https://github.com/rbubley/mirrors-prettier - rev: v3.3.3 + rev: v3.4.2 hooks: - id: prettier types_or: [yaml, markdown, html, css, scss, javascript, json] # Check for spelling - repo: https://github.com/crate-ci/typos - rev: v1.27.3 + rev: typos-dict-v0.11.37 hooks: - id: typos @@ -130,7 +130,7 @@ repos: # Check JSON schemata - repo: https://github.com/python-jsonschema/check-jsonschema - rev: 0.29.4 + rev: 0.30.0 hooks: - id: check-dependabot - id: check-github-workflows @@ -138,6 +138,6 @@ repos: # Check the pyproject.toml file - repo: https://github.com/henryiii/validate-pyproject-schema-store - rev: 2024.11.11 + rev: 2024.11.25 hooks: - id: validate-pyproject diff --git a/noxfile.py b/noxfile.py index 8bb9ece..2c2b772 100644 --- a/noxfile.py +++ b/noxfile.py @@ -61,13 +61,13 @@ def _run_tests( if shutil.which("ninja") is None: session.install("ninja") - _extras = ["test", *extras] + extras_ = ["test", *extras] if "--cov" in posargs: - _extras.append("coverage") + extras_.append("coverage") posargs.append("--cov-config=pyproject.toml") session.install(*BUILD_REQUIREMENTS, *install_args, env=env) - install_arg = f"-ve.[{','.join(_extras)}]" + install_arg = f"-ve.[{','.join(extras_)}]" session.install("--no-build-isolation", install_arg, *install_args, env=env) session.run("pytest", *run_args, *posargs, env=env) diff --git a/pyproject.toml b/pyproject.toml index f976264..16ac6cf 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -217,20 +217,17 @@ extend-select = [ "SLOT", # flake8-slots "SIM", # flake8-simplify "T20", # flake8-print - "TCH", # flake8-type-checking + "TC", # flake8-type-checking "TID251", # flake8-tidy-imports "TRY", # tryceratops "UP", # pyupgrade "YTT", # flake8-2020 ] ignore = [ - "ANN101", # Missing type annotation for `self` in method - "ANN102", # Missing type annotation for `cls` in classmethod "ISC001", # Conflicts with formatter "PLR09", # Too many <...> "PLR2004", # Magic value used in comparison "PLC0415", # Import should be at top of file - "PT004", # Incorrect, just usefixtures instead. "S101", # Use of assert detected "S404", # `subprocess` module is possibly insecure "D10", # Missing docstrings @@ -282,7 +279,7 @@ archs = "auto64" test-command = "python -c \"from mqt import qudits\"" test-skip = ["cp313*"] # skip testing on Python 3.13 until our dependencies are ready build-frontend = "build[uv]" -free-threaded-support = true +enable = ["cpython-freethreading"] manylinux-x86_64-image = "manylinux_2_28" manylinux-aarch64-image = "manylinux_2_28" manylinux-ppc64le-image = "manylinux_2_28" diff --git a/src/mqt/qudits/compiler/dit_compiler.py b/src/mqt/qudits/compiler/dit_compiler.py index b912752..c97d0ce 100644 --- a/src/mqt/qudits/compiler/dit_compiler.py +++ b/src/mqt/qudits/compiler/dit_compiler.py @@ -5,7 +5,6 @@ from ..core.lanes import Lanes from ..quantum_circuit.components.extensions.gate_types import GateTypes -from . import CompilerPass from .naive_local_resynth import NaiveLocResynthOptPass from .onedit import LogLocQRPass, PhyLocAdaPass, PhyLocQRPass, ZPropagationOptPass, ZRemovalOptPass from .twodit import LogEntQRCEXPass @@ -15,6 +14,7 @@ from ..quantum_circuit import QuantumCircuit from ..quantum_circuit.gate import Gate from ..simulation.backends.backendv2 import Backend + from . import CompilerPass class QuditCompiler: @@ -48,7 +48,7 @@ def compile(self, backend: Backend, circuit: QuantumCircuit, passes_names: list[ elif "Multi" in str(compiler_pass): passes_dict[GateTypes.MULTI] = decomposition for gate in circuit.instructions: - decomposer = typing.cast(Optional[CompilerPass], passes_dict.get(gate.gate_type)) + decomposer = typing.cast("Optional[CompilerPass]", passes_dict.get(gate.gate_type)) if decomposer is not None: new_instructions = decomposer.transpile_gate(gate) new_instr.extend(new_instructions) diff --git a/src/mqt/qudits/compiler/onedit/local_operation_swap/swap_routine.py b/src/mqt/qudits/compiler/onedit/local_operation_swap/swap_routine.py index 01f7d41..408ca64 100644 --- a/src/mqt/qudits/compiler/onedit/local_operation_swap/swap_routine.py +++ b/src/mqt/qudits/compiler/onedit/local_operation_swap/swap_routine.py @@ -79,7 +79,7 @@ def graph_rule_ongate(gate: gates.R, graph: LevelGraph) -> gates.R: return gates.R( gate.parent_circuit, "R", - cast(int, gate.target_qudits), + cast("int", gate.target_qudits), [g_lev_a, g_lev_b, gate.theta, new_g_phi], gate.dimensions, ) @@ -117,7 +117,7 @@ def gate_chain_condition(previous_gates: list[R], current: R) -> R: return gates.R( current.parent_circuit, "R", - cast(int, current.target_qudits), + cast("int", current.target_qudits), [current.lev_a, current.lev_b, theta, phi], current.dimensions, ) # R(theta, phi, current.lev_a, current.lev_b, current.dimension) @@ -142,7 +142,11 @@ def route_states2rotate_basic(gate: R, orig_placement: LevelGraph) -> tuple[floa phy_n_ip1 = placement.nodes[path[i + 1]]["lpmap"] pi_gate_phy = gates.R( - gate.parent_circuit, "R", cast(int, gate.target_qudits), [phy_n_i, phy_n_ip1, np.pi, -np.pi / 2], dimension + gate.parent_circuit, + "R", + cast("int", gate.target_qudits), + [phy_n_i, phy_n_ip1, np.pi, -np.pi / 2], + dimension, ) # R(np.pi, -np.pi / 2, phy_n_i, phy_n_ip1, dimension) pi_gate_phy = gate_chain_condition(pi_pulses_routing, pi_gate_phy) @@ -152,7 +156,7 @@ def route_states2rotate_basic(gate: R, orig_placement: LevelGraph) -> tuple[floa pi_gate_logic = gates.R( gate.parent_circuit, "R", - cast(int, gate.target_qudits), + cast("int", gate.target_qudits), [path[i], path[i + 1], pi_gate_phy.theta, pi_gate_phy.phi / 2], dimension, ) # R(pi_gate_phy.theta, pi_gate_phy.phi, path[i], path[i + 1], dimension) diff --git a/src/mqt/qudits/compiler/onedit/local_phases_transpilation/propagate_virtrz.py b/src/mqt/qudits/compiler/onedit/local_phases_transpilation/propagate_virtrz.py index 434332c..04a6ceb 100644 --- a/src/mqt/qudits/compiler/onedit/local_phases_transpilation/propagate_virtrz.py +++ b/src/mqt/qudits/compiler/onedit/local_phases_transpilation/propagate_virtrz.py @@ -30,7 +30,7 @@ def transpile(self, circuit: QuantumCircuit) -> QuantumCircuit: def propagate_z(circuit: QuantumCircuit, line: list[R | VirtRz], back: bool) -> tuple[list[R], list[VirtRz]]: z_angles: dict[int, float] = {} list_of_x_yrots: list[R] = [] - qudit_index = cast(int, line[0].target_qudits) + qudit_index = cast("int", line[0].target_qudits) dimension = line[0].dimensions for i in range(dimension): @@ -111,9 +111,7 @@ def remove_z(self, original_circuit: QuantumCircuit, back: bool = True) -> Quant for interval in intervals: if len(interval) > 1: - from ....quantum_circuit.gates import R, VirtRz - - sequence = cast(list[Union[R, VirtRz]], circuit.instructions[interval[0] : interval[-1] + 1]) + sequence = cast("list[Union[R, VirtRz]]", circuit.instructions[interval[0] : interval[-1] + 1]) fixed_seq: list[R] = [] z_tail: list[VirtRz] = [] fixed_seq, z_tail = self.propagate_z(circuit, sequence, back) diff --git a/src/mqt/qudits/compiler/onedit/mapping_aware_transpilation/phy_local_adaptive_decomp.py b/src/mqt/qudits/compiler/onedit/mapping_aware_transpilation/phy_local_adaptive_decomp.py index 6318bf3..b44d5fc 100644 --- a/src/mqt/qudits/compiler/onedit/mapping_aware_transpilation/phy_local_adaptive_decomp.py +++ b/src/mqt/qudits/compiler/onedit/mapping_aware_transpilation/phy_local_adaptive_decomp.py @@ -39,18 +39,18 @@ def __init__(self, backend: Backend, vrz_prop: bool = False) -> None: self.vrz_prop = vrz_prop def transpile_gate(self, gate: Gate) -> list[Gate]: - energy_graph_i = self.backend.energy_level_graphs[cast(int, gate.target_qudits)] + energy_graph_i = self.backend.energy_level_graphs[cast("int", gate.target_qudits)] qr = PhyQrDecomp(gate, energy_graph_i) _decomp, algorithmic_cost, total_cost = qr.execute() adaptive = PhyAdaptiveDecomposition( - gate, energy_graph_i, (algorithmic_cost, total_cost), cast(int, gate.dimensions), z_prop=self.vrz_prop + gate, energy_graph_i, (algorithmic_cost, total_cost), cast("int", gate.dimensions), z_prop=self.vrz_prop ) (matrices_decomposed, _best_cost, new_energy_level_graph) = adaptive.execute() - self.backend.energy_level_graphs[cast(int, gate.target_qudits)] = new_energy_level_graph + self.backend.energy_level_graphs[cast("int", gate.target_qudits)] = new_energy_level_graph return [op.dag() for op in reversed(matrices_decomposed)] def transpile(self, circuit: QuantumCircuit) -> QuantumCircuit: @@ -80,12 +80,12 @@ def __init__( ) -> None: self.circuit: QuantumCircuit = gate.parent_circuit self.U: NDArray = gate.to_matrix(identities=0) - self.qudit_index: int = cast(int, gate.target_qudits) + self.qudit_index: int = cast("int", gate.target_qudits) self.graph: LevelGraph = graph_orig self.graph.phase_storing_setup() - self.cost_limit: tuple[float, float] = cast(tuple[float, float], cost_limit) - self.dimension: int = cast(int, dimension) - self.phase_propagation: bool = cast(bool, z_prop) + self.cost_limit: tuple[float, float] = cast("tuple[float, float]", cost_limit) + self.dimension: int = cast("int", dimension) + self.phase_propagation: bool = cast("bool", z_prop) self.TREE: NAryTree = NAryTree() def execute(self) -> tuple[list[Gate], tuple[float, float], LevelGraph]: diff --git a/src/mqt/qudits/compiler/onedit/mapping_aware_transpilation/phy_local_qr_decomp.py b/src/mqt/qudits/compiler/onedit/mapping_aware_transpilation/phy_local_qr_decomp.py index c3da3df..8bdda77 100644 --- a/src/mqt/qudits/compiler/onedit/mapping_aware_transpilation/phy_local_qr_decomp.py +++ b/src/mqt/qudits/compiler/onedit/mapping_aware_transpilation/phy_local_qr_decomp.py @@ -25,7 +25,7 @@ def __init__(self, backend: Backend) -> None: super().__init__(backend) def transpile_gate(self, gate: Gate) -> list[Gate]: - energy_graph_i = self.backend.energy_level_graphs[cast(int, gate.target_qudits)] + energy_graph_i = self.backend.energy_level_graphs[cast("int", gate.target_qudits)] qr = PhyQrDecomp(gate, energy_graph_i, not_stand_alone=False) decomp, _algorithmic_cost, _total_cost = qr.execute() return [op.dag() for op in reversed(decomp)] @@ -51,8 +51,8 @@ class PhyQrDecomp: def __init__(self, gate: Gate, graph_orig: LevelGraph, z_prop: bool = False, not_stand_alone: bool = True) -> None: self.gate: Gate = gate self.circuit: QuantumCircuit = gate.parent_circuit - self.dimension: int = cast(int, gate.dimensions) - self.qudit_index: int = cast(int, gate.target_qudits) + self.dimension: int = cast("int", gate.dimensions) + self.qudit_index: int = cast("int", gate.target_qudits) self.U: NDArray = gate.to_matrix(identities=0) self.graph: LevelGraph = graph_orig self.phase_propagation: bool = z_prop @@ -77,9 +77,9 @@ def execute(self) -> tuple[list[Gate], float, float]: phase_gate = gates.VirtRz( self.gate.parent_circuit, "VRz", - cast(int, self.gate.target_qudits), + cast("int", self.gate.target_qudits), [self.graph.nodes[i]["lpmap"], theta_z], - cast(int, self.gate.dimensions), + cast("int", self.gate.dimensions), ) # (thetaZ, self.graph.nodes[i]['lpmap'], dimension) decomp.append(phase_gate) recover_dict[i] = theta_z @@ -151,9 +151,9 @@ def execute(self) -> tuple[list[Gate], float, float]: phase_gate = gates.VirtRz( self.gate.parent_circuit, "VRz", - cast(int, self.gate.target_qudits), + cast("int", self.gate.target_qudits), [phy_n_i, np.angle(diag_u[i])], - cast(int, self.gate.dimensions), + cast("int", self.gate.dimensions), ) # Rz(np.angle(diag_U[i]), phy_n_i, dimension) decomp.append(phase_gate) diff --git a/src/mqt/qudits/compiler/onedit/mapping_un_aware_transpilation/log_local_adaptive_decomp.py b/src/mqt/qudits/compiler/onedit/mapping_un_aware_transpilation/log_local_adaptive_decomp.py index 93dee68..1a73c17 100644 --- a/src/mqt/qudits/compiler/onedit/mapping_un_aware_transpilation/log_local_adaptive_decomp.py +++ b/src/mqt/qudits/compiler/onedit/mapping_un_aware_transpilation/log_local_adaptive_decomp.py @@ -30,20 +30,20 @@ def __init__(self, backend: Backend) -> None: super().__init__(backend) def transpile_gate(self, gate: Gate) -> list[Gate]: - energy_graph_i = self.backend.energy_level_graphs[cast(int, gate.target_qudits)] + energy_graph_i = self.backend.energy_level_graphs[cast("int", gate.target_qudits)] qr = QrDecomp(gate, energy_graph_i) _decomp, algorithmic_cost, total_cost = qr.execute() adaptive = LogAdaptiveDecomposition( - gate, energy_graph_i, (algorithmic_cost, total_cost), cast(int, gate.dimensions) + gate, energy_graph_i, (algorithmic_cost, total_cost), cast("int", gate.dimensions) ) ( matrices_decomposed, _best_cost, - self.backend.energy_level_graphs[cast(int, gate.target_qudits)], + self.backend.energy_level_graphs[cast("int", gate.target_qudits)], ) = adaptive.execute() return matrices_decomposed @@ -74,7 +74,7 @@ def __init__( ) -> None: self.circuit: QuantumCircuit = gate.parent_circuit self.U: NDArray = gate.to_matrix(identities=0) - self.qudit_index: int = cast(int, gate.target_qudits) + self.qudit_index: int = cast("int", gate.target_qudits) self.graph: LevelGraph = graph_orig self.graph.phase_storing_setup() self.cost_limit: tuple[float, float] = cost_limit diff --git a/src/mqt/qudits/compiler/onedit/mapping_un_aware_transpilation/log_local_qr_decomp.py b/src/mqt/qudits/compiler/onedit/mapping_un_aware_transpilation/log_local_qr_decomp.py index 170ac82..fed9326 100644 --- a/src/mqt/qudits/compiler/onedit/mapping_un_aware_transpilation/log_local_qr_decomp.py +++ b/src/mqt/qudits/compiler/onedit/mapping_un_aware_transpilation/log_local_qr_decomp.py @@ -27,7 +27,7 @@ def __init__(self, backend: Backend) -> None: super().__init__(backend) def transpile_gate(self, gate: Gate) -> list[Gate]: - energy_graph_i = self.backend.energy_level_graphs[cast(int, gate.target_qudits)] + energy_graph_i = self.backend.energy_level_graphs[cast("int", gate.target_qudits)] qr = QrDecomp(gate, energy_graph_i, not_stand_alone=False) decomp, _algorithmic_cost, _total_cost = qr.execute() return decomp @@ -51,8 +51,8 @@ class QrDecomp: def __init__(self, gate: Gate, graph_orig: LevelGraph, z_prop: bool = False, not_stand_alone: bool = True) -> None: self.gate: Gate = gate self.circuit: QuantumCircuit = gate.parent_circuit - self.dimension: int = cast(int, gate.dimensions) - self.qudit_index: int = cast(int, gate.target_qudits) + self.dimension: int = cast("int", gate.dimensions) + self.qudit_index: int = cast("int", gate.target_qudits) self.U: NDArray = gate.to_matrix(identities=0) self.graph: LevelGraph = graph_orig self.phase_propagation: bool = z_prop @@ -77,9 +77,9 @@ def execute(self) -> tuple[list[Gate], float, float]: phase_gate = gates.VirtRz( self.gate.parent_circuit, "VRz", - cast(int, self.gate.target_qudits), + cast("int", self.gate.target_qudits), [self.graph.nodes[i], theta_z], - cast(int, self.gate.dimensions), + cast("int", self.gate.dimensions), ) # (thetaZ, self.graph.nodes[i]['lpmap'], dimension) # [self.graph.nodes[i]["lpmap"], thetaZ], decomp.append(phase_gate) recover_dict[i] = theta_z @@ -154,9 +154,9 @@ def execute(self) -> tuple[list[Gate], float, float]: phase_gate = gates.VirtRz( self.gate.parent_circuit, "VRz", - cast(int, self.gate.target_qudits), + cast("int", self.gate.target_qudits), [i, np.angle(diag_u[i])], - cast(int, self.gate.dimensions), + cast("int", self.gate.dimensions), ) # Rz(np.angle(diag_U[i]), phy_n_i, dimension) decomp.append(phase_gate) diff --git a/src/mqt/qudits/compiler/state_compilation/state_preparation.py b/src/mqt/qudits/compiler/state_compilation/state_preparation.py index 3baa55b..cfaa50b 100644 --- a/src/mqt/qudits/compiler/state_compilation/state_preparation.py +++ b/src/mqt/qudits/compiler/state_compilation/state_preparation.py @@ -34,7 +34,7 @@ def find_complex_number(x: complex, c: complex) -> complex: def get_angles(from_: complex, to_: complex) -> tuple[float, float]: theta = 2 * np.arctan2(abs(from_), abs(to_)) - phi = typing.cast(float, -(np.pi / 2 + np.angle(to_) - np.angle(from_))) + phi = typing.cast("float", -(np.pi / 2 + np.angle(to_) - np.angle(from_))) return theta, phi diff --git a/src/mqt/qudits/compiler/twodit/entanglement_qr/phy_ent_qr_cex_decomp.py b/src/mqt/qudits/compiler/twodit/entanglement_qr/phy_ent_qr_cex_decomp.py index 1c24a28..345086e 100644 --- a/src/mqt/qudits/compiler/twodit/entanglement_qr/phy_ent_qr_cex_decomp.py +++ b/src/mqt/qudits/compiler/twodit/entanglement_qr/phy_ent_qr_cex_decomp.py @@ -23,8 +23,8 @@ def __init__(self, backend: Backend) -> None: self.circuit = QuantumCircuit() def transpile_gate(self, gate: Gate) -> list[Gate]: - target_qudits = cast(list[int], gate.target_qudits) - dimensions = cast(list[int], gate.dimensions) + target_qudits = cast("list[int]", gate.target_qudits) + dimensions = cast("list[int]", gate.dimensions) energy_graph_c = self.backend.energy_level_graphs[target_qudits[0]] energy_graph_t = self.backend.energy_level_graphs[target_qudits[1]] diff --git a/src/mqt/qudits/compiler/twodit/variational_twodit_compilation/opt/distance_measures.py b/src/mqt/qudits/compiler/twodit/variational_twodit_compilation/opt/distance_measures.py index 12784da..9294b2b 100755 --- a/src/mqt/qudits/compiler/twodit/variational_twodit_compilation/opt/distance_measures.py +++ b/src/mqt/qudits/compiler/twodit/variational_twodit_compilation/opt/distance_measures.py @@ -27,7 +27,7 @@ def fidelity_on_operator(a: NDArray[np.complex128, np.complex128], b: NDArray[np numerator = np.abs(np.trace(adag @ b)) denominator = np.sqrt(np.trace(a @ adag) * np.trace(b @ bdag)) - return typing.cast(float, (numerator / denominator)) + return typing.cast("float", (numerator / denominator)) def fidelity_on_unitares(a: NDArray[np.complex128, np.complex128], b: NDArray[np.complex128, np.complex128]) -> float: @@ -37,7 +37,7 @@ def fidelity_on_unitares(a: NDArray[np.complex128, np.complex128], b: NDArray[np dimension = a.shape[0] - return typing.cast(float, np.abs(np.trace(a.T.conj() @ b)) / dimension) + return typing.cast("float", np.abs(np.trace(a.T.conj() @ b)) / dimension) def fidelity_on_density_operator( @@ -50,7 +50,7 @@ def fidelity_on_density_operator( numerator = np.abs(np.trace(a @ b)) denominator = np.sqrt(np.trace(a @ a) * np.trace(b @ b)) - return typing.cast(float, (numerator / denominator)) + return typing.cast("float", (numerator / denominator)) def naive_state_fidelity(state1: ArrayLike, state2: ArrayLike) -> float: diff --git a/src/mqt/qudits/compiler/twodit/variational_twodit_compilation/sparsifier.py b/src/mqt/qudits/compiler/twodit/variational_twodit_compilation/sparsifier.py index f012e91..e5c1ae6 100644 --- a/src/mqt/qudits/compiler/twodit/variational_twodit_compilation/sparsifier.py +++ b/src/mqt/qudits/compiler/twodit/variational_twodit_compilation/sparsifier.py @@ -36,7 +36,7 @@ def apply_rotations( def instantiate_rotations(circuit: QuantumCircuit, gate: Gate, params_list: list[float]) -> list[Gate]: gate = copy.deepcopy(gate) gate.parent_circuit = circuit - dims = typing.cast(list[int], gate.dimensions) + dims = typing.cast("list[int]", gate.dimensions) params = params_splitter(params_list, dims) decomposition: list[Gate] = [] @@ -56,7 +56,7 @@ def density(m_prime: NDArray[np.float64, np.float64]) -> float: non_zero_elements = m_prime[m_prime > 1e-8] if len(non_zero_elements) == 0: return 0 - return typing.cast(float, non_zero_elements.size / m_prime.size) + return typing.cast("float", non_zero_elements.size / m_prime.size) def manhattan_norm(matrix: NDArray[np.complex128, np.complex128]) -> float: @@ -64,7 +64,7 @@ def manhattan_norm(matrix: NDArray[np.complex128, np.complex128]) -> float: def frobenius_norm(matrix: NDArray[np.complex128, np.complex128]) -> float: - return typing.cast(float, np.sqrt(np.sum(np.abs(matrix) ** 2))) + return typing.cast("float", np.sqrt(np.sum(np.abs(matrix) ** 2))) def compute_f(x: NDArray[np.complex128, np.complex128]) -> float: @@ -121,7 +121,7 @@ def objective_function(thetas: list[float], m: NDArray[np.complex128, np.complex def sparsify(gate: Gate, tol: float = 0.1) -> QuantumCircuit: m = gate.to_matrix() - dims = typing.cast(list[int], gate.dimensions) + dims = typing.cast("list[int]", gate.dimensions) Optimizer.set_class_variables(m, tol, dims[0], dims[1]) bounds = Optimizer.return_bounds() diff --git a/src/mqt/qudits/core/lanes.py b/src/mqt/qudits/core/lanes.py index 0e7b1e2..d409527 100644 --- a/src/mqt/qudits/core/lanes.py +++ b/src/mqt/qudits/core/lanes.py @@ -41,12 +41,12 @@ def create_lanes(self) -> CircuitView: for gate_tuple in self.instructions: gate = gate_tuple[1] if gate.gate_type == GateTypes.SINGLE: - index: int = cast(int, gate.target_qudits) + index: int = cast("int", gate.target_qudits) if index not in self.index_dict: self.index_dict[index] = [] self.index_dict[index].append(gate_tuple) elif gate.gate_type in {GateTypes.TWO, GateTypes.MULTI}: - indices: list[int] = cast(list[int], gate.target_qudits) + indices: list[int] = cast("list[int]", gate.target_qudits) for index in indices: if index not in self.index_dict: self.index_dict[index] = [] @@ -84,13 +84,13 @@ def find_consecutive_singles(self, gates: LineView | None = None) -> CircuitGrou for gate_tuple in gates: gate = gate_tuple[1] if gate.gate_type == GateTypes.SINGLE: - target_qudits = cast(int, gate.target_qudits) + target_qudits = cast("int", gate.target_qudits) if consecutive_groups[target_qudits]: consecutive_groups[target_qudits][-1].append(gate_tuple) else: consecutive_groups[target_qudits] = [[gate_tuple]] else: - qudits_targeted: list[int] = cast(list[int], gate.target_qudits) + qudits_targeted: list[int] = cast("list[int]", gate.target_qudits) for qudit in qudits_targeted: consecutive_groups[qudit].append([gate_tuple]) consecutive_groups[qudit].append([]) diff --git a/src/mqt/qudits/core/level_graph.py b/src/mqt/qudits/core/level_graph.py index 3d1cb88..662320f 100644 --- a/src/mqt/qudits/core/level_graph.py +++ b/src/mqt/qudits/core/level_graph.py @@ -27,7 +27,7 @@ def __init__( ) -> None: super().__init__() self.og_circuit = og_circuit - self.qudit_index: int = cast(int, qudit_index) + self.qudit_index: int = cast("int", qudit_index) self.logic_nodes: list[int] | NodesWithAttributes = nodes self.add_nodes_from(self.logic_nodes) @@ -104,7 +104,7 @@ def update_list(lst_: list[tuple[int, int]], num_a: int, num_b: int) -> list[tup substituter[1] = num_b elif mod_index[i][1] == 2: substituter[1] = num_a - new_lst.append(cast(tuple[int, int], tuple(substituter))) + new_lst.append(cast("tuple[int, int]", tuple(substituter))) return new_lst @@ -129,7 +129,7 @@ def index(lev_graph: list[tuple[int, int]] | NodesWithAttributes, node: int) -> raise ValueError(msg) def swap_node_attributes(self, node_a: int, node_b: int) -> NodesWithAttributes: - nodelistcopy = cast(NodesWithAttributes, self.deep_copy_func(list(self.nodes(data=True)))) + nodelistcopy = cast("NodesWithAttributes", self.deep_copy_func(list(self.nodes(data=True)))) node_a_index = self.index(nodelistcopy, node_a) node_b_index = self.index(nodelistcopy, node_b) @@ -166,7 +166,7 @@ def swap_nodes(self, node_a: int, node_b: int) -> LevelGraph: attribute_list = [self.get_edge_data(*e).copy() for e in edges] swapped_nodes_edges: list[tuple[int, int]] = self.update_list( - cast(list[tuple[int, int]], edges), node_a, node_b + cast("list[tuple[int, int]]", edges), node_a, node_b ) new_edge_list = [] diff --git a/src/mqt/qudits/core/micro_dd.py b/src/mqt/qudits/core/micro_dd.py index 1a8bab4..824e8fa 100644 --- a/src/mqt/qudits/core/micro_dd.py +++ b/src/mqt/qudits/core/micro_dd.py @@ -73,7 +73,7 @@ def get_node_contributions(root: MicroDDNode, labels: list[int]) -> NodeContribu for node, probability in probs.items(): if node.value not in {"r", "zero", "one"}: - qq[cast(int, node.value)].append((node, probability)) + qq[cast("int", node.value)].append((node, probability)) for i in range(len(qq)): qq[i] = sorted(qq[i], key=operator.itemgetter(1)) diff --git a/src/mqt/qudits/quantum_circuit/circuit.py b/src/mqt/qudits/quantum_circuit/circuit.py index fb83ac3..df4d0cb 100644 --- a/src/mqt/qudits/quantum_circuit/circuit.py +++ b/src/mqt/qudits/quantum_circuit/circuit.py @@ -108,8 +108,8 @@ def __init__(self, *args: int | QuantumRegister | list[int] | None) -> None: if len(args) > 1: # case 1 # num_qudits: int, dimensions_slice: List[int]|None, numcl: int - num_qudits: int = cast(int, args[0]) - dims: list[int] = cast(list[int], num_qudits * [2] if args[1] is None else args[1]) + num_qudits: int = cast("int", args[0]) + dims: list[int] = cast("list[int]", num_qudits * [2] if args[1] is None else args[1]) self.append(QuantumRegister("q", num_qudits, dims)) # self.num_cl = args[2] elif isinstance(args[0], QuantumRegister): @@ -120,7 +120,7 @@ def __init__(self, *args: int | QuantumRegister | list[int] | None) -> None: @classmethod def get_qasm_set(cls) -> dict[str, str]: - return cast(dict[str, str], cls.qasm_to_gate_set_dict) + return cast("dict[str, str]", cls.qasm_to_gate_set_dict) @property def dimensions(self) -> list[int]: diff --git a/src/mqt/qudits/quantum_circuit/components/classic_register.py b/src/mqt/qudits/quantum_circuit/components/classic_register.py index 304b559..c6ede24 100644 --- a/src/mqt/qudits/quantum_circuit/components/classic_register.py +++ b/src/mqt/qudits/quantum_circuit/components/classic_register.py @@ -20,7 +20,7 @@ def from_map(cls, sitemap: dict[tuple[str, int], Any]) -> list[ClassicRegister]: registers_from_qasm = [] for label, data in registers_map.items(): - global_indexing_dict: dict[int, int] = cast(dict[int, int], data[0]) + global_indexing_dict: dict[int, int] = cast("dict[int, int]", data[0]) temp = ClassicRegister(label, len(global_indexing_dict)) temp.local_sitemap = global_indexing_dict registers_from_qasm.append(temp) diff --git a/src/mqt/qudits/quantum_circuit/components/extensions/matrix_factory.py b/src/mqt/qudits/quantum_circuit/components/extensions/matrix_factory.py index aed2a37..6c6df83 100644 --- a/src/mqt/qudits/quantum_circuit/components/extensions/matrix_factory.py +++ b/src/mqt/qudits/quantum_circuit/components/extensions/matrix_factory.py @@ -10,6 +10,7 @@ if typing.TYPE_CHECKING: from numpy.typing import NDArray + from mqt.qudits.quantum_circuit.components.extensions.controls import ControlData from mqt.qudits.quantum_circuit.gate import Gate @@ -22,9 +23,8 @@ def generate_matrix(self) -> NDArray[np.complex128]: matrix = self.gate.__array__() if self.gate.dagger: matrix = matrix.conj().T - from mqt.qudits.quantum_circuit.components.extensions.controls import ControlData - control_info = typing.cast(typing.Optional[ControlData], self.gate.control_info["controls"]) + control_info = typing.cast("typing.Optional[ControlData]", self.gate.control_info["controls"]) lines = self.gate.reference_lines.copy() circuit = self.gate.parent_circuit ref_slice = list(range(min(lines), max(lines) + 1)) diff --git a/src/mqt/qudits/quantum_circuit/components/quantum_register.py b/src/mqt/qudits/quantum_circuit/components/quantum_register.py index 0843dda..9a85dbb 100644 --- a/src/mqt/qudits/quantum_circuit/components/quantum_register.py +++ b/src/mqt/qudits/quantum_circuit/components/quantum_register.py @@ -22,15 +22,15 @@ def from_map(cls, sitemap: SiteMap) -> list[QuantumRegister]: [dimensionality_extracted], ] else: - mapping: dict[int, int] = cast(dict[int, int], registers_map[reg_name][0]) + mapping: dict[int, int] = cast("dict[int, int]", registers_map[reg_name][0]) mapping[inreg_line_index] = line_info[0] - dimensions_mapped: list[int] = cast(list[int], registers_map[reg_name][1]) + dimensions_mapped: list[int] = cast("list[int]", registers_map[reg_name][1]) dimensions_mapped.append(line_info[1]) # print(registers_map) registers_from_qasm = [] for label, data in registers_map.items(): - global_indexing_dict: dict[int, int] = cast(dict[int, int], data[0]) - global_dimensions_list: list[int] = cast(list[int], data[1]) + global_indexing_dict: dict[int, int] = cast("dict[int, int]", data[0]) + global_dimensions_list: list[int] = cast("list[int]", data[1]) temp = QuantumRegister(label, len(global_indexing_dict), global_dimensions_list) temp.local_sitemap = global_indexing_dict registers_from_qasm.append(temp) diff --git a/src/mqt/qudits/quantum_circuit/gates/csum.py b/src/mqt/qudits/quantum_circuit/gates/csum.py index de3d441..9086ea8 100644 --- a/src/mqt/qudits/quantum_circuit/gates/csum.py +++ b/src/mqt/qudits/quantum_circuit/gates/csum.py @@ -37,7 +37,7 @@ def __init__( ) def __array__(self) -> NDArray[np.complex128, np.complex128]: # noqa: PLW3201 - qudits_targeted = cast(list[int], self.target_qudits) + qudits_targeted = cast("list[int]", self.target_qudits) qudit_targeted_0: int = qudits_targeted[0] qudit_targeted_1: int = qudits_targeted[1] ctrl_size = self.parent_circuit.dimensions[qudit_targeted_0] diff --git a/src/mqt/qudits/quantum_circuit/gates/custom_multi.py b/src/mqt/qudits/quantum_circuit/gates/custom_multi.py index 7afc3d5..bc9fbce 100644 --- a/src/mqt/qudits/quantum_circuit/gates/custom_multi.py +++ b/src/mqt/qudits/quantum_circuit/gates/custom_multi.py @@ -47,6 +47,7 @@ def __array__(self) -> NDArray: # noqa: PLW3201 def validate_parameter(parameter: NDArray | None = None) -> bool: if parameter is None: return True # or False, depending on whether None is considered valid - return isinstance(parameter, np.ndarray) and ( - parameter.dtype == np.complex128 or np.issubdtype(parameter.dtype, np.number) + return bool( + isinstance(parameter, np.ndarray) + and (parameter.dtype == np.complex128 or np.issubdtype(parameter.dtype, np.number)) ) diff --git a/src/mqt/qudits/quantum_circuit/gates/custom_one.py b/src/mqt/qudits/quantum_circuit/gates/custom_one.py index db6aff2..684669d 100644 --- a/src/mqt/qudits/quantum_circuit/gates/custom_one.py +++ b/src/mqt/qudits/quantum_circuit/gates/custom_one.py @@ -47,6 +47,7 @@ def __array__(self) -> NDArray: # noqa: PLW3201 def validate_parameter(parameter: NDArray | None = None) -> bool: if parameter is None: return True # or False, depending on whether None is considered valid - return isinstance(parameter, np.ndarray) and ( - parameter.dtype == np.complex128 or np.issubdtype(parameter.dtype, np.number) + return bool( + isinstance(parameter, np.ndarray) + and (parameter.dtype == np.complex128 or np.issubdtype(parameter.dtype, np.number)) ) diff --git a/src/mqt/qudits/quantum_circuit/gates/custom_two.py b/src/mqt/qudits/quantum_circuit/gates/custom_two.py index d51703b..5dda497 100644 --- a/src/mqt/qudits/quantum_circuit/gates/custom_two.py +++ b/src/mqt/qudits/quantum_circuit/gates/custom_two.py @@ -47,6 +47,7 @@ def __array__(self) -> NDArray: # noqa: PLW3201 def validate_parameter(parameter: NDArray | None = None) -> bool: if parameter is None: return True # or False, depending on whether None is considered valid - return isinstance(parameter, np.ndarray) and ( - parameter.dtype == np.complex128 or np.issubdtype(parameter.dtype, np.number) + return bool( + isinstance(parameter, np.ndarray) + and (parameter.dtype == np.complex128 or np.issubdtype(parameter.dtype, np.number)) ) diff --git a/src/mqt/qudits/quantum_circuit/gates/cx.py b/src/mqt/qudits/quantum_circuit/gates/cx.py index 4e392e4..ab23b46 100644 --- a/src/mqt/qudits/quantum_circuit/gates/cx.py +++ b/src/mqt/qudits/quantum_circuit/gates/cx.py @@ -41,23 +41,23 @@ def __init__( ) # if customized if parameters is not None and self.validate_parameter(parameters): - self.lev_a: int = cast(int, parameters[0]) - self.lev_b: int = cast(int, parameters[1]) - self.ctrl_lev: int = cast(int, parameters[2]) - self.phi: float = cast(float, parameters[3]) + self.lev_a: int = cast("int", parameters[0]) + self.lev_b: int = cast("int", parameters[1]) + self.ctrl_lev: int = cast("int", parameters[2]) + self.phi: float = cast("float", parameters[3]) # self.lev_a, self.lev_b, self.ctrl_lev, self.phi = parameters self._params: list[int | float] = parameters else: self.ctrl_lev = 1 def __array__(self) -> NDArray: # noqa: PLW3201 - levels_swap_low: int = cast(int, self._params[0]) - levels_swap_high: int = cast(int, self._params[1]) - ctrl_level: int = cast(int, self._params[2]) - ang: float = cast(float, self._params[3]) + levels_swap_low: int = cast("int", self._params[0]) + levels_swap_high: int = cast("int", self._params[1]) + ctrl_level: int = cast("int", self._params[2]) + ang: float = cast("float", self._params[3]) dimension = reduce(operator.mul, self.dimensions) dimension_ctrl, dimension_target = self.dimensions - qudits_targeted = cast(list[int], self.target_qudits) + qudits_targeted = cast("list[int]", self.target_qudits) result = np.zeros((dimension, dimension), dtype="complex") for i in range(dimension_ctrl): @@ -108,4 +108,4 @@ def validate_parameter(parameter: Parameter) -> bool: @property def dimensions(self) -> list[int]: - return cast(list[int], self._dimensions) + return cast("list[int]", self._dimensions) diff --git a/src/mqt/qudits/quantum_circuit/gates/gellmann.py b/src/mqt/qudits/quantum_circuit/gates/gellmann.py index 29856c9..265748c 100644 --- a/src/mqt/qudits/quantum_circuit/gates/gellmann.py +++ b/src/mqt/qudits/quantum_circuit/gates/gellmann.py @@ -36,11 +36,11 @@ def __init__( dimensions=dimensions, control_set=controls, qasm_tag="gell", - lev_a=cast(int, parameters[0]), - lev_b=cast(int, parameters[1]), + lev_a=cast("int", parameters[0]), + lev_b=cast("int", parameters[1]), params=parameters, ) - self.type_m = cast(str, parameters[2]) + self.type_m = cast("str", parameters[2]) def __array__(self) -> NDArray: # noqa: PLW3201 d = self._dimensions @@ -74,7 +74,7 @@ def validate_parameter(param: Parameter) -> bool: return False if isinstance(param, list): - parameter = cast(list[Union[int, str]], param) + parameter = cast("list[Union[int, str]]", param) assert isinstance(parameter[0], int) assert isinstance(parameter[1], int) assert isinstance(parameter[2], str) diff --git a/src/mqt/qudits/quantum_circuit/gates/ls.py b/src/mqt/qudits/quantum_circuit/gates/ls.py index 79b720e..e3324c7 100644 --- a/src/mqt/qudits/quantum_circuit/gates/ls.py +++ b/src/mqt/qudits/quantum_circuit/gates/ls.py @@ -64,7 +64,7 @@ def validate_parameter(param: Parameter) -> bool: return False if isinstance(param, list): - assert 0 <= cast(float, param[0]) <= 2 * np.pi, f"Angle should be in the range [0, 2*pi]: {param[0]}" + assert 0 <= cast("float", param[0]) <= 2 * np.pi, f"Angle should be in the range [0, 2*pi]: {param[0]}" return True if isinstance(param, np.ndarray): @@ -75,4 +75,4 @@ def validate_parameter(param: Parameter) -> bool: @property def dimensions(self) -> list[int]: - return cast(list[int], self._dimensions) + return cast("list[int]", self._dimensions) diff --git a/src/mqt/qudits/quantum_circuit/gates/ms.py b/src/mqt/qudits/quantum_circuit/gates/ms.py index db3aaeb..5ac02b5 100644 --- a/src/mqt/qudits/quantum_circuit/gates/ms.py +++ b/src/mqt/qudits/quantum_circuit/gates/ms.py @@ -47,7 +47,7 @@ def __array__(self) -> NDArray: # noqa: PLW3201 dimension_0 = self.dimensions[0] dimension_1 = self.dimensions[1] ps: list[int | str] = [0, 1, "s"] - qudits_targeted = cast(list[int], self.target_qudits) + qudits_targeted = cast("list[int]", self.target_qudits) qudit_targeted_0: int = qudits_targeted[0] qudit_targeted_1: int = qudits_targeted[1] @@ -73,7 +73,7 @@ def validate_parameter(parameter: Parameter) -> bool: return False if isinstance(parameter, list): - assert 0 <= cast(float, parameter[0]) <= 2 * np.pi, ( + assert 0 <= cast("float", parameter[0]) <= 2 * np.pi, ( f"Angle should be in the range [0, 2*pi]: {parameter[0]}" ) return True @@ -85,4 +85,4 @@ def validate_parameter(parameter: Parameter) -> bool: @property def dimensions(self) -> list[int]: - return cast(list[int], self._dimensions) + return cast("list[int]", self._dimensions) diff --git a/src/mqt/qudits/quantum_circuit/gates/perm.py b/src/mqt/qudits/quantum_circuit/gates/perm.py index 3ee94bf..d482195 100644 --- a/src/mqt/qudits/quantum_circuit/gates/perm.py +++ b/src/mqt/qudits/quantum_circuit/gates/perm.py @@ -49,7 +49,7 @@ def validate_parameter(self, parameter: Parameter) -> bool: if isinstance(parameter, list): """Verify that the input is a list of indices""" dims = self.dimensions - p = cast(list[int], parameter) + p = cast("list[int]", parameter) assert all((0 <= num < len(parameter) and num < dims) for num in p), ( "Numbers are not within the range of the list length" ) @@ -64,4 +64,4 @@ def validate_parameter(self, parameter: Parameter) -> bool: @property def dimensions(self) -> int: - return cast(int, self._dimensions) + return cast("int", self._dimensions) diff --git a/src/mqt/qudits/quantum_circuit/gates/r.py b/src/mqt/qudits/quantum_circuit/gates/r.py index 7c98cc8..3e880c9 100644 --- a/src/mqt/qudits/quantum_circuit/gates/r.py +++ b/src/mqt/qudits/quantum_circuit/gates/r.py @@ -38,10 +38,10 @@ def __init__( ) if self.validate_parameter(parameters): - self.original_lev_a: int = cast(int, parameters[0]) - self.original_lev_b: int = cast(int, parameters[1]) - self.theta: float = cast(float, parameters[2]) - self.phi: float = cast(float, parameters[3]) + self.original_lev_a: int = cast("int", parameters[0]) + self.original_lev_b: int = cast("int", parameters[1]) + self.theta: float = cast("float", parameters[2]) + self.phi: float = cast("float", parameters[3]) self.lev_a, self.lev_b = self.levels_setter(self.original_lev_a, self.original_lev_b) self.theta = regulate_theta(self.theta) self._params = parameters @@ -58,7 +58,7 @@ def __array__(self) -> NDArray: # noqa: PLW3201 cosine_matrix = matrix pa: list[int | str] = [self.lev_a, self.lev_b, "a"] ps: list[int | str] = [self.lev_a, self.lev_b, "s"] - qudit_targeted = cast(int, self.target_qudits) + qudit_targeted = cast("int", self.target_qudits) return cosine_matrix - 1j * np.sin(theta / 2) * ( np.sin(phi) diff --git a/src/mqt/qudits/quantum_circuit/gates/randu.py b/src/mqt/qudits/quantum_circuit/gates/randu.py index bf2aabc..6cc09ad 100644 --- a/src/mqt/qudits/quantum_circuit/gates/randu.py +++ b/src/mqt/qudits/quantum_circuit/gates/randu.py @@ -43,4 +43,4 @@ def __array__(self) -> NDArray[np.complex128, np.complex128]: # noqa: PLW3201 @property def dimensions(self) -> list[int]: - return cast(list[int], self._dimensions) + return cast("list[int]", self._dimensions) diff --git a/src/mqt/qudits/quantum_circuit/gates/rh.py b/src/mqt/qudits/quantum_circuit/gates/rh.py index 7fa06f8..25baddc 100644 --- a/src/mqt/qudits/quantum_circuit/gates/rh.py +++ b/src/mqt/qudits/quantum_circuit/gates/rh.py @@ -46,7 +46,7 @@ def __init__( def __array__(self) -> NDArray: # noqa: PLW3201 # (R(-np.pi, 0, l1, l2, dim) * R(np.pi / 2, np.pi / 2, l1, l2, dim)) dimension = self.dimensions - qudit_targeted: int = cast(int, self.target_qudits) + qudit_targeted: int = cast("int", self.target_qudits) pi_x = R(self.parent_circuit, "R", qudit_targeted, [self.lev_a, self.lev_b, -np.pi, 0.0], dimension).to_matrix() rotate = R( diff --git a/src/mqt/qudits/quantum_circuit/gates/rz.py b/src/mqt/qudits/quantum_circuit/gates/rz.py index 03cbd4c..9dc47ef 100644 --- a/src/mqt/qudits/quantum_circuit/gates/rz.py +++ b/src/mqt/qudits/quantum_circuit/gates/rz.py @@ -37,9 +37,9 @@ def __init__( qasm_tag="rz", ) if self.validate_parameter(parameters): - self.original_lev_a: int = cast(int, parameters[0]) - self.original_lev_b: int = cast(int, parameters[1]) - self.phi: float = cast(float, parameters[2]) + self.original_lev_a: int = cast("int", parameters[0]) + self.original_lev_b: int = cast("int", parameters[1]) + self.phi: float = cast("float", parameters[2]) self.phi = regulate_theta(self.phi) self.lev_a, self.lev_b = self.levels_setter(self.original_lev_a, self.original_lev_b) self._params = parameters @@ -47,7 +47,7 @@ def __init__( def __array__(self) -> NDArray[np.complex128, np.complex128]: # noqa: PLW3201 dimension = self.dimensions phi = self.phi - qudit_targeted: int = cast(int, self.target_qudits) + qudit_targeted: int = cast("int", self.target_qudits) pi_there = R( self.parent_circuit, "R", qudit_targeted, [self.lev_a, self.lev_b, -np.pi / 2, 0.0], dimension diff --git a/src/mqt/qudits/quantum_circuit/gates/virt_rz.py b/src/mqt/qudits/quantum_circuit/gates/virt_rz.py index b5be526..a2d87ba 100644 --- a/src/mqt/qudits/quantum_circuit/gates/virt_rz.py +++ b/src/mqt/qudits/quantum_circuit/gates/virt_rz.py @@ -36,8 +36,8 @@ def __init__( qasm_tag="virtrz", ) if self.validate_parameter(parameters): - self.lev_a: int = cast(int, parameters[0]) - self.phi: float = cast(float, parameters[1]) + self.lev_a: int = cast("int", parameters[0]) + self.phi: float = cast("float", parameters[1]) self.phi = regulate_theta(self.phi) self._params = parameters diff --git a/src/mqt/qudits/quantum_circuit/qasm.py b/src/mqt/qudits/quantum_circuit/qasm.py index 0627cba..d73409a 100644 --- a/src/mqt/qudits/quantum_circuit/qasm.py +++ b/src/mqt/qudits/quantum_circuit/qasm.py @@ -130,7 +130,7 @@ def parse_gate( for match in matches: if match: namectl = match[0] - reg_qudit_indexctl = cast(str, match[1]) + reg_qudit_indexctl = cast("str", match[1]) number = re.search(r"\[(\d+)\]", reg_qudit_indexctl) if number: extracted = number.groups() diff --git a/src/mqt/qudits/simulation/backends/backendv2.py b/src/mqt/qudits/simulation/backends/backendv2.py index e360034..2fee3e6 100644 --- a/src/mqt/qudits/simulation/backends/backendv2.py +++ b/src/mqt/qudits/simulation/backends/backendv2.py @@ -61,7 +61,7 @@ def set_options(self, **fields: Unpack[Backend.DefaultOptions]) -> None: @property def options(self) -> dict[str, Any]: - return cast(dict[str, Any], self._options) + return cast("dict[str, Any]", self._options) @property def provider(self) -> MQTQuditProvider: diff --git a/src/mqt/qudits/simulation/noise_tools/noisy_circuit_factory.py b/src/mqt/qudits/simulation/noise_tools/noisy_circuit_factory.py index 5334c6d..32308b4 100644 --- a/src/mqt/qudits/simulation/noise_tools/noisy_circuit_factory.py +++ b/src/mqt/qudits/simulation/noise_tools/noisy_circuit_factory.py @@ -141,7 +141,7 @@ def _get_nonlocal_qudits(instruction: Gate) -> list[int]: def _get_control_qudits(self, instruction: Gate) -> list[int]: self._validate_two_qudit_gate(instruction) - qudits_targeted = cast(list[int], instruction.target_qudits) + qudits_targeted = cast("list[int]", instruction.target_qudits) return qudits_targeted[:1] @staticmethod @@ -161,7 +161,7 @@ def _get_target_qudits(instruction: Gate) -> list[int]: qudits_targeted = instruction.reference_lines return qudits_targeted[1:] - return [cast(int, instruction.target_qudits)] + return [cast("int", instruction.target_qudits)] @staticmethod def _validate_two_qudit_gate(instruction: Gate) -> None: diff --git a/test/python/compiler/onedit/test_phy_local_adaptive_decomp.py b/test/python/compiler/onedit/test_phy_local_adaptive_decomp.py index aec414a..3d1de23 100644 --- a/test/python/compiler/onedit/test_phy_local_adaptive_decomp.py +++ b/test/python/compiler/onedit/test_phy_local_adaptive_decomp.py @@ -37,14 +37,14 @@ def test_execute(): qr = PhyQrDecomp(htest, graph_1, z_prop=False, not_stand_alone=False) # gate, graph_orig, Z_prop=False, not_stand_alone=True - _decomp, _algorithmic_cost, _total_cost = qr.execute() + decomp, algorithmic_cost, total_cost = qr.execute() - v = UnitaryVerifier(_decomp, htest, [dim], test_sample_nodes, test_sample_nodes_map, test_sample_nodes_map) - assert len(_decomp) == 30 + v = UnitaryVerifier(decomp, htest, [dim], test_sample_nodes, test_sample_nodes_map, test_sample_nodes_map) + assert len(decomp) == 30 assert v.verify() ada = PhyAdaptiveDecomposition( - htest, graph_1, cost_limit=(1.1 * _algorithmic_cost, 1.1 * _total_cost), dimension=5, z_prop=False + 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